Data Analyst
● Utilized SQL for data cleaning and processing large datasets while integrating Python for trend analysis, enhancing the monitoring and reporting of the institute's WeChat and video account performance by creating automated, accurate reports that informed strategic decision-making.● Improved user segmentation and trend identification through k-means clustering and topic modeling techniques in Python, enabling the identification of key user behavior patterns, which directly supported green finance initiatives by refining audience targeting and improving outreach effectiveness.● Boosted user engagement by 35% by conducting detailed SQL metric analysis combined with Python-based visualizations, allowing for the identification of underperforming content and optimized release schedules, leading to significantly higher user interaction and retention.● Analyzed past social media performance using Power BI to develop interactive dashboards and applied Excel pivot tables to evaluate historical trends, resulting in over 1,500 impressions and a 20% increase in click-through rates, optimizing both content delivery and marketing focus.